{"id":"W4388588988","doi":"10.1093/neuonc/noad179.0679","title":"PATH-49. COMPREHENSIVE RNA-SEQ ANALYSIS REVEALS NOVEL SUBTYPES OF MENINGIOMAS AND PREDICTS PATIENT OUTCOME.","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Meningioma; Computational biology; Biology; Grading (engineering); DNA sequencing; Gene; Bioinformatics; Medicine; Genetics; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005991252,0.0003679668,0.0003660104,0.0006473893,0.0005674633,0.0007064948,0.0003114411,0.0003093303,0.00153623],"category_scores_gemma":[0.001199556,0.0002026147,0.0005052447,0.0005682625,0.0002273436,0.0001839648,0.0004935347,0.000420082,0.0008765311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005285139,"about_ca_system_score_gemma":0.0006605582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003048023,"about_ca_topic_score_gemma":0.00809409,"domain_scores_codex":[0.9995791,0.00005096481,0.000028583,0.0002012741,0.00008617336,0.00005384056],"domain_scores_gemma":[0.9996386,0.0001289418,0.0000706097,0.00005039625,0.00006761292,0.00004387046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001904025,0.000216225,0.4475075,0.0008657698,0.0007975282,0.0007436504,0.0004020667,0.01842335,0.3965695,0.001592896,0.02463229,0.1063452],"study_design_scores_gemma":[0.0001718788,0.0005542499,0.7138296,0.0001471438,0.0005127135,0.001720196,0.0004601923,0.1307054,0.1078379,0.004142475,0.03980679,0.0001115788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8882818,0.001115409,0.02220673,0.0004131654,0.0001008557,0.000166672,0.08218765,0.001659859,0.003867995],"genre_scores_gemma":[0.8857887,0.0004122139,0.02650563,0.0003425753,0.00004249419,0.0003109655,0.08422767,0.0002978654,0.002071894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003048023,"threshold_uncertainty_score":0.0060606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05397042019853811,"score_gpt":0.3192611067677274,"score_spread":0.2652906865691893,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}